A transformer long oil gap checking method and system, storage medium and electronic equipment

Abstract

The application discloses a transformer long oil gap checking method and system, a storage medium and an electronic device, and comprises the following steps: performing finite element simulation calculation on the electric field intensity based on the geometric structure of the transformer, and obtaining the electric field modulus of each spatial coordinate point in the whole space of the transformer; screening the spatial coordinate points based on the electric field modulus to obtain a point cloud data set; constructing a three-dimensional entity model based on the point cloud data set, measuring the volume of the three-dimensional entity model, and determining the model volume of the three-dimensional entity model; calculating the electric field failure critical value based on the model volume; and performing transformer long oil gap checking based on the electric field failure critical value and the maximum value of the electric field modulus to obtain a checking result. The application combines finite element analysis and spatial data processing means to quickly and accurately obtain and calculate the spatial volume, is high in operability, high in precision, fast in speed, capable of avoiding complicated experimental detection and manual statistics, and low in labor and time cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of transformers, and more particularly, to a transformer long oil gap checking method, system, storage medium and electronic device. BACKGROUND

[0002] As the core equipment in the power system, the insulation performance of the transformer is crucial to the stability and safety of the power grid. In high-voltage grade transformers, long oil gaps are mainly distributed in the lead wire and high-voltage grading ball positions. These areas are prone to electrode discharge breakdown due to complex electric field distribution and high local field strength, which is one of the main factors leading to sudden failure of the transformer. The traditional electric field analysis and checking method is mainly for small oil gap areas, and is mostly two-dimensional surface analysis. The related method has significant limitations when dealing with long oil gaps. The current long oil gap electric field strength checking is mainly by calculating the average value of the electric field strength in the oil gap and comparing it with the allowed electric field strength threshold. However, this method ignores the uneven distribution of local electric field in complex geometric structures, especially in complex three-dimensional models of grading ball, lead wire insulation structure, which cannot accurately capture the characteristics of local high field strength areas and cannot fully reflect the local changes of electric field in the oil gap, making it difficult to meet the needs of long oil gap fine electric field evaluation in three-dimensional scenarios. To solve the above problems, a transformer large oil gap electric field region extraction and margin evaluation method is proposed, which is based on volume effect to improve the accuracy and reliability of transformer long oil gap region electric field evaluation and checking.

[0003] The distribution of electric field modulus is very important data information in power equipment, and engineering and technical personnel often want to obtain the distribution of equipment internal greater than a certain electric field modulus value (such as 80% of the extreme value) in the whole equipment and the space volume occupied. To achieve this purpose, the following two problems need to be solved: (1) obtaining the electric field modulus of all spaces in the equipment; (2) obtaining the space greater than a certain electric field strength value, and the space is often irregular in shape, so a reasonable method is needed to calculate the space volume.

[0004] Therefore, a new transformer long oil gap checking method is needed. SUMMARY

[0005] The present application provides a transformer long oil gap checking method, system, storage medium and electronic device to solve the problem of how to check the long oil gap of the transformer.

[0006] In order to solve the above problems, according to one aspect of the present application, a transformer long oil gap checking method is provided, the method comprising:

[0007] Performing finite element simulation calculation of electric field strength based on the geometric structure of the transformer to obtain the electric field modulus of each spatial coordinate point in the whole space of the transformer;

[0008] screening the spatial coordinate points based on the electric field modulus to obtain a point cloud data set;

[0009] constructing a three-dimensional entity model based on the point cloud data set, and performing volume measurement on the three-dimensional entity model to determine a model volume of the three-dimensional entity model;

[0010] calculating an electric field failure critical value based on the model volume;

[0011] performing transformer long oil gap checking based on the electric field failure critical value and the maximum electric field modulus to obtain a checking result.

[0012] Preferably, the method further comprises:

[0013] When the number of spatial coordinate points in the thickness direction does not satisfy the preset number of layers, performing linear difference on the electric field modulus to increase the number of electric field modulus of the spatial coordinate points.

[0014] Preferably, the screening of the spatial coordinate points based on the electric field modulus to obtain the point cloud data set comprises:

[0015] ,

[0016] wherein Q is the point cloud data set; x i , y i and z i are position information of the spatial coordinate point i; is the electric field intensity corresponding to the spatial coordinate point i; is the maximum electric field modulus; and N is the number of spatial coordinate points.

[0017] Preferably, the constructing of the three-dimensional entity model based on the point cloud data set comprises:

[0018] fitting the outermost spatial coordinate points in the point cloud data set into a closed surface to construct the three-dimensional entity model;

[0019] wherein, for point cloud data with axial symmetry characteristics, the outermost point cloud data is fitted into a curve on the symmetry plane by a cubic spline curve, and is rotated around the symmetry axis by 360° to generate the three-dimensional entity model; for geometric point cloud data with fixed or gradually changed cross-sectional shape along a certain axis, a stretching or sweeping topology method is used to generate the three-dimensional entity model; for geometric features with unclear geometric shape, a U / V surface method is used for fitting to form a curved surface, thereby constructing the three-dimensional entity model.

[0020] Preferably, the volume measurement on the three-dimensional entity model to determine the model volume of the three-dimensional entity model comprises:

[0021] cutting the three-dimensional solid model into a plurality of tetrahedrons connected to each other and without overlapping, calculating the volume of each tetrahedron respectively based on the surface area of any one surface of each tetrahedron and the modulus of the corresponding normal vector, and summing up to determine the model volume of the three-dimensional solid model.

[0022] Preferably, wherein the electric field failure threshold is calculated based on the model volume, comprising:

[0023]

[0024] wherein E criticality is the electric field failure threshold; V is the model volume; A, B and a are respectively a coefficient related to field strength, a fixed value related to field strength and a Weibull shape coefficient.

[0025] Preferably, wherein the transformer long oil gap check is performed based on the electric field failure threshold and the maximum value of the electric field modulus, and a check result is obtained, comprising:

[0026] If the electric field failure threshold is greater than or equal to the maximum value of the electric field modulus, it is determined that the transformer long oil gap electric field margin meets the operation requirement; otherwise, it is determined that the transformer long oil gap electric field margin does not meet the operation requirement.

[0027] According to another aspect of the present application, a transformer long oil gap checking system is provided, the system comprising:

[0028] An electric field modulus determination unit is configured to perform finite element simulation calculation of electric field strength based on the geometric structure of the transformer, and obtain the electric field modulus of each spatial coordinate point in the entire space of the transformer.

[0029] A screening unit is configured to screen the spatial coordinate points based on the electric field modulus to obtain a point cloud data set.

[0030] A model volume determination unit is configured to construct a three-dimensional solid model based on the point cloud data set, and measure the volume of the three-dimensional solid model to determine the model volume of the three-dimensional solid model.

[0031] An electric field failure threshold calculation unit is configured to calculate the electric field failure threshold based on the model volume.

[0032] A checking unit is configured to perform transformer long oil gap check based on the electric field failure threshold and the maximum value of the electric field modulus, and obtain a check result.

[0033] Preferably, wherein the system further comprises:

[0034] A data amplification unit is configured to perform linear difference value on the electric field modulus to increase the number of electric field modulus of the spatial coordinate points when the number of spatial coordinate points in the thickness direction does not meet the preset number of layers.​

[0035] Preferably, the screening unit screens the spatial coordinate points based on the electric field modulus to obtain a point cloud data set, comprising:

[0036] ,

[0037] wherein Q is the point cloud data set; x i , y i and z i are the position information of the spatial coordinate point i; is the electric field intensity corresponding to the spatial coordinate point i; is the maximum value of the electric field modulus; and N is the number of spatial coordinate points.

[0038] Preferably, the model volume determination unit constructs a three-dimensional entity model based on the point cloud data set, comprising:

[0039] fitting the outermost spatial coordinate points in the point cloud data set into a closed surface to construct a three-dimensional entity model;

[0040] wherein for point cloud data with axial symmetry characteristics, the outermost point cloud data on the symmetry plane is fitted into a curve by a cubic spline curve, and rotated 360° around the symmetry axis to generate a three-dimensional entity model; for geometric point cloud data with fixed or gradually changing cross-sectional shape along an axis, a stretching or sweeping topology system is used to generate a three-dimensional entity model; for geometric features with unclear geometric shape, a U / V surface system is used for fitting to form a curved surface, thereby constructing a three-dimensional entity model.

[0041] Preferably, the model volume determination unit measures the volume of the three-dimensional entity model to determine the model volume of the three-dimensional entity model, comprising:

[0042] cutting the three-dimensional entity model into a plurality of tetrahedrons connected to each other and without overlapping, calculating the volume of each tetrahedron based on the surface area of any one surface of the tetrahedron and the modulus of the corresponding normal vector, and summing up the volumes of the tetrahedrons to determine the model volume of the three-dimensional entity model.

[0043] Preferably, the electric field failure threshold calculation unit calculates the electric field failure threshold based on the model volume, comprising:

[0044] ,

[0045] wherein E criticality is the electric field failure threshold; V is the model volume; A, B and a are respectively a coefficient related to the field intensity, a fixed value related to the field intensity and a Weibull shape coefficient.

[0046] Preferably, the checking unit performs the long oil gap checking of the transformer based on the electric field failure threshold and the maximum value of the electric field modulus, and obtains a checking result, comprising:

[0047] If the electric field failure threshold is greater than or equal to the maximum value of the electric field modulus, it is determined that the long oil gap electric field margin of the transformer meets the operation requirement; otherwise, it is determined that the long oil gap electric field margin of the transformer does not meet the operation requirement.

[0048] Based on another aspect of the present application, the present application provides a computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of any one of the transformer long oil gap checking methods.

[0049] Based on another aspect of the present application, the present application provides an electronic device, comprising:

[0050] The above computer readable storage medium; and

[0051] One or more processors for executing the program in the computer readable storage medium.

[0052] The present application provides a transformer long oil gap checking method, system, storage medium and electronic device, comprising: performing finite element simulation calculation of electric field intensity based on the geometric structure of the transformer, obtaining the electric field modulus of each spatial coordinate point in the entire space of the transformer; screening the spatial coordinate points based on the electric field modulus to obtain a point cloud data set; constructing a three-dimensional entity model based on the point cloud data set, and measuring the volume of the three-dimensional entity model to determine the model volume of the three-dimensional entity model; calculating the electric field failure threshold based on the model volume; performing long oil gap checking of the transformer based on the electric field failure threshold and the maximum value of the electric field modulus, and obtaining a checking result. The present application combines finite element analysis and spatial data processing means to quickly and accurately obtain and calculate the spatial volume, has strong operability, high precision, and fast speed, can avoid complex experimental detection and manual statistics, and reduces the labor and time cost. BRIEF DESCRIPTION OF DRAWINGS

[0053] The exemplary embodiments of the present application can be more completely understood by reference to the following drawings:

[0054] Figure 1 A flowchart of a transformer long oil gap checking method 100 according to an embodiment of the present application;

[0055] Figure 2 A schematic diagram of a rotation topology implementation path according to an embodiment of the present application;

[0056] Figure 3 A schematic diagram of U / V curved surface fitting according to an embodiment of the present application;

[0057] Figure 4 Structure diagram of a transformer long oil gap checking system 400 according to an embodiment of the present application. DETAILED DESCRIPTION

[0058] Reference will now be made to the drawings to describe the exemplary embodiments of the present application in detail. The present application may, however, be implemented in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and fully convey the scope of the application to those skilled in the art. Like reference numerals refer to like elements throughout the specification. It will be understood that when an element or layer is referred to as being "on" another element or substrate, it can be directly on the element or substrate or intervening layers can also be present. Such a construction is referred to herein as a "direct" contact. Herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0059] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the present disclosure and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

[0060] To solve the problem in the prior art that the local high field strength characteristics in a complex geometric structure cannot be accurately reflected due to the lack of overall consideration of the overall electric field distribution in the evaluation process of the electric field region of the long oil gap of a transformer, the present application proposes a method that uses a combination of a finite element analysis method and a spatial data processing method to obtain the volume size of the space occupied by the electric field strength value in a certain interval, thereby avoiding complicated experimental detection and manual statistics and reducing manpower and time.

[0061] Figure 1 Flowchart of a transformer long oil gap checking method 100 according to an embodiment of the present application. As shown in Figure 1 The transformer long oil gap checking method 100 according to the embodiment of the present application starts from step 101. In step 101, finite element simulation calculation of the electric field strength is performed based on the geometric structure of the transformer to obtain the electric field modulus of each spatial coordinate point in the entire space of the transformer.

[0062] Preferably, the method further comprises:

[0063] When the number of spatial coordinate points in the thickness direction does not satisfy the preset number of layers, the electric field modulus is linearly interpolated to increase the number of electric field modulus of the spatial coordinate points.

[0064] In the present application, the geometry of the transformer device is first introduced into the finite element simulation software to calculate the electric field strength value of the device to obtain the electric field distribution of the entire space and export a data file. The data file contains coordinate position information and the electric field modulus E [kV / mm] of the coordinate point position, and its format is a two-dimensional array, which is:

[0065] ,

[0066] where x n , y n , and z n are the spatial coordinates where the electric field strength E n of the coordinate point n corresponds. These spatial coordinates are the data basis for subsequent computer graphics processing, also known as point cloud data.

[0067] In addition, in order to obtain high-precision three-dimensional geometry, a sufficient number of spatial geometry points are required, especially the geometry points in the thickness direction of the entity geometry with large length and width. Therefore, linear interpolation is performed on the electric field modulus to ensure at least 5 layers of points in the thickness direction, thereby ensuring the accuracy of the spatial electric field analysis.

[0068] In step 102, the spatial coordinate points are screened based on the electric field modulus to obtain a point cloud data set.

[0069] Preferably, the screening of the spatial coordinate points based on the electric field modulus to obtain the point cloud data set comprises:

[0070] ,

[0071] where Q is the point cloud data set; x i , y i , and z i are the position information of the spatial coordinate point i; is the electric field strength corresponding to the spatial coordinate point i; is the maximum value of the electric field modulus; and N is the number of spatial coordinate points.

[0072] In the present application, the data obtained based on the electromagnetic finite element software contains complete spatial point cloud data, which needs to be further screened to obtain spatial coordinates with electric field modulus in a certain interval, such as electric field modulus greater than 80% of the extreme value, to screen the corresponding point cloud data set Q, , x i , y i , and z i are the position information of the spatial coordinate point i; is the electric field strength corresponding to the spatial coordinate point i; is the maximum value of the electric field modulus; and N is the number of spatial coordinate points.

[0073] In step 103, a three-dimensional entity model is constructed based on the point cloud data set, and volume measurement is performed on the three-dimensional entity model to determine the model volume of the three-dimensional entity model.

[0074] Preferably, wherein the three-dimensional entity model is constructed based on the point cloud data set, comprising:

[0075] The outermost spatial coordinate points in the point cloud data set are fitted into a closed surface to construct the three-dimensional entity model.

[0076] Wherein, for point cloud data with axial symmetry characteristics, the outermost point cloud data is fitted into a curve on the symmetry plane by a cubic spline curve, and is rotated around the symmetry axis by 360° to generate a three-dimensional entity model; for geometric point cloud data with a fixed or gradually changing cross-sectional shape along an axis, a stretching or sweeping topology method is used to generate a three-dimensional entity model; for geometric features with unclear geometric shapes, a U / V surface method is used for fitting to form a curved surface, thereby constructing a three-dimensional entity model.

[0077] Preferably, wherein the volume measurement is performed on the three-dimensional entity model to determine the model volume of the three-dimensional entity model, comprising:

[0078] The three-dimensional entity model is cut into a plurality of tetrahedrons connected to each other and without overlapping, the volume of each tetrahedron is calculated based on the surface area of any one surface of the tetrahedron and the modulus of the corresponding normal vector, and the model volume of the three-dimensional entity model is determined by summing up the volumes of the tetrahedrons.

[0079] In the present application, after obtaining the point cloud data set Q, the outermost coordinate points of the data set Q can be fitted into a closed surface by computer graphics principles to generate a three-dimensional entity and perform volume measurement.

[0080] Wherein, as shown in Figure 2 For point cloud data with obvious axial symmetry characteristics, a "rotation" topology method is used to quickly generate a three-dimensional revolution entity. The outermost point cloud data is fitted into a curve on the symmetry plane by a cubic spline curve, and is rotated around the symmetry axis by 360° to generate a three-dimensional entity. For geometric point cloud data with a fixed or gradually changing cross-sectional shape along an axis, a "stretching" or "sweeping" topology method is used to quickly generate a geometric entity.

[0081] Wherein, as shown in Figure 3For more general complex cases, the geometry does not present obvious geometric features, and a U / V surface topology method is used to fit the coordinate points into a complex surface. In the implementation logic of the U / V surface, the spatial three-dimensional coordinate points can be decomposed along two mutually perpendicular directions (i.e. U direction and V direction), and then the spline curve fitting is performed in the U direction, and then the spline curve in the U direction is fitted along the V direction to form a surface.

[0082] Regardless of the implementation, it is an indispensable step to fit the point cloud data into a continuous spatial curve through a spline curve. The spline curve is a mathematical method for generating a smooth curve by giving a set of control points, which has a wide application in computer graphics. By calling the spline curve through the computer, the boundary of the irregular point cloud data set can be obtained more smoothly, and better calculation accuracy can be obtained.

[0083] In step 104, the electric field failure critical value is calculated based on the model volume.

[0084] Preferably, wherein the electric field failure critical value is calculated based on the model volume, comprising:

[0085] ,

[0086] Wherein, E criticality is the electric field failure critical value; V is the model volume; A, B and a are respectively the field strength related coefficient, the field strength related fixed value and the Weibull shape coefficient.

[0087] In the present application, after obtaining the high-precision three-dimensional entity model, the continuous volume measurement method is used to measure the volume of the three-dimensional entity model, which is suitable for both regular geometric shapes and complex surface geometries. Specifically, first, the geometric entity is cut into n tetrahedrons that are connected to each other and do not overlap, and the surface area S of any one surface of each tetrahedron and the modulus h of its normal vector are obtained through spatial data, and the volume V of the three-dimensional entity model is calculated based on the formula and summed up, so as to obtain the volume V of the three-dimensional entity model.

[0088] Then, the electric field failure critical value E is calculated using the formula criticality based on the calculated volume V of the three-dimensional entity model; wherein A, B and a are obtained through experiments for different transformer oil types, electrode shapes and insulation structures.

[0089] In step 105, the transformer long oil gap check is performed based on the electric field failure critical value and the maximum value of the electric field modulus, and the check result is obtained.

[0090] ​Preferably, the transformer long oil gap check is performed based on the electric field failure threshold and the electric field modulus maximum value, and a check result is obtained, comprising:

[0091] If the electric field failure threshold is greater than or equal to the electric field modulus maximum value, it is determined that the transformer long oil gap electric field margin meets the operation requirement; otherwise, it is determined that the transformer long oil gap electric field margin does not meet the operation requirement.

[0092] In the present application, the calculated failure threshold E criticality is compared with the maximum electric field E max obtained in step 101. If the electric field failure threshold is greater than or equal to the electric field modulus maximum value, it is determined that the transformer long oil gap electric field margin meets the operation requirement; otherwise, it is determined that the transformer long oil gap electric field margin does not meet the operation requirement, thereby realizing accurate electric field check of the transformer long oil gap.

[0093] In the present application, the long oil gap is the internal space of the transformer, and is a single oil gap with a length greater than 100 mm between one metal conductor and another metal conductor without any blocking barrier except the thin insulation covering the surface of the conductor.

[0094] The present application uses electromagnetic finite element simulation software to calculate the electric field distribution, extracts a point cloud data set between the maximum and minimum field strength values, further generates and calculates the data distribution region volume and its failure threshold based on U / V surface topology and spline curve fitting and continuous volume measurement technology, and finally compares the failure threshold with the maximum field strength value to realize accurate electric field check of the long oil gap. Compared with the traditional method, the present application significantly improves the accuracy of electric field evaluation, fully captures the local details of the electric field in the complex geometric structure, avoids the limitations brought by the traditional average value calculation, thereby avoiding complex experimental detection and manual statistics, reducing the labor and time cost, and providing an advanced technical means for transformer long oil gap electric field design and safety check.

[0095] Figure 4 A structure diagram of a transformer long oil gap check system 400 according to an embodiment of the present application is shown. As shown in Figure 4 the transformer long oil gap check system 400 provided by the embodiment of the present application includes an electric field modulus determination unit 401, a screening unit 402, a model volume determination unit 403, an electric field failure threshold calculation unit 404, and a check unit 405.

[0096] Preferably, the electric field modulus determination unit 401 is configured to perform finite element simulation calculation of the electric field strength based on the geometric structure of the transformer, and obtain the electric field modulus of each spatial coordinate point in the entire space of the transformer.

[0097] Preferably, the system further includes:

[0098] The data expansion unit is configured to perform linear difference value on the electric field modulus when the number of spatial coordinate points in the thickness direction does not meet the preset number of layers, so as to increase the number of electric field modulus of the spatial coordinate points.

[0099] Preferably, the screening unit 402 is configured to screen the spatial coordinate points based on the electric field modulus to obtain the point cloud data set.

[0100] Preferably, the screening unit 402 screens the spatial coordinate points based on the electric field modulus to obtain the point cloud data set, and the screening unit 402 includes:

[0101]

[0102] wherein Q is the point cloud data set; x i , y i and z i are position information of the spatial coordinate point i; is the electric field intensity corresponding to the spatial coordinate point i; is the maximum value of the electric field modulus; and N is the number of spatial coordinate points.

[0103] Preferably, the model volume determination unit 403 is configured to construct a three-dimensional entity model based on the point cloud data set, and perform volume measurement on the three-dimensional entity model to determine the model volume of the three-dimensional entity model.

[0104] Preferably, the model volume determination unit 403 constructs the three-dimensional entity model based on the point cloud data set, and the model volume determination unit 403 includes:

[0105] fitting the outermost spatial coordinate points in the point cloud data set into a closed surface to construct the three-dimensional entity model;

[0106] wherein, for the point cloud data with axial symmetry characteristics, the outermost point cloud data is fitted into a curve on the symmetry plane by means of a cubic spline curve, and the three-dimensional entity model is generated by rotating 360° around the symmetry axis; for the geometric point cloud data with fixed or gradually changed cross-sectional shape along a certain axis, the three-dimensional entity model is generated by using a stretching or sweeping topology system; for the geometric features with unclear geometric shape, the U / V surface system is used for fitting to form a curved surface, so as to construct the three-dimensional entity model.

[0107] Preferably, the model volume determination unit 403 performs volume measurement on the three-dimensional entity model to determine the model volume of the three-dimensional entity model, and the model volume determination unit 403 includes:

[0108] ​cutting the three-dimensional solid model into a plurality of tetrahedrons which are connected to each other and do not overlap, calculating the volume of each tetrahedron based on the surface area of any one surface of the tetrahedron and the modulus of the corresponding normal vector, and summing up the volumes of the tetrahedrons to determine the model volume of the three-dimensional solid model.

[0109] Preferably, the electric field failure threshold value calculation unit 404 calculates the electric field failure threshold value based on the model volume.

[0110] Preferably, the electric field failure threshold value calculation unit 404 calculates the electric field failure threshold value based on the model volume, including:

[0111] ,

[0112] wherein E criticality is the electric field failure threshold value; V is the model volume; A, B and a are respectively a coefficient related to field strength, a fixed value related to field strength and a Weibull shape coefficient.

[0113] Preferably, the checking unit 405 performs the transformer long oil gap checking based on the electric field failure threshold value and the maximum electric field modulus to obtain a checking result.

[0114] Preferably, the checking unit 405 performs the transformer long oil gap checking based on the electric field failure threshold value and the maximum electric field modulus to obtain a checking result, including:

[0115] If the electric field failure threshold value is greater than or equal to the maximum electric field modulus, it is determined that the transformer long oil gap electric field margin meets the operation requirement; otherwise, it is determined that the transformer long oil gap electric field margin does not meet the operation requirement.

[0116] The transformer long oil gap checking system 400 of the embodiment of the present application corresponds to the transformer long oil gap checking method 100 of another embodiment of the present application, which will not be described here again.

[0117] Based on another aspect of the present application, the present application provides a computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps of any one of the transformer long oil gap checking methods.

[0118] Based on another aspect of the present application, the present application provides an electronic device, including:

[0119] the above-mentioned computer readable storage medium; and

[0120] one or more processors for executing the program in the computer readable storage medium.

[0121] The application has been described by reference to several implementations. However, other implementations are equally contemplated by the skilled artisan, which are within the scope of the application in light of the above disclosure.

[0122] Generally, all terms used in the present application are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined differently herein. All references to "a" or "an" means "at least one", unless otherwise indicated by the context of the specification. Any method disclosed herein does not necessarily imply the combination of all recited steps of the method in accordance with the disclosure, unless explicitly stated.

[0123] As will be appreciated by one skilled in the art, embodiments of the present application can be comprised of a method, a system, or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, and the like) embodying computer readable program code.

[0124] The present application is described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processing system or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0125] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0126] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams.Figure 1 one or more processes and / or functions specified in one or more blocks Figure 1 one or more blocks or any combination thereof.

[0127] It should be noted that the above-mentioned embodiments are only used to illustrate the technical solutions of the present application, but not limit the technical solutions of the present application. Although the present application has been described in detail with reference to the above-mentioned embodiments, it should be understood by those skilled in the art that the specific embodiments of the present application can be modified or equivalent replaced without departing from the spirit and scope of the present application. Any modification or equivalent replacement should be covered in the protection scope of the present application.

Claims

1. A method for verifying the long oil gap of a transformer, characterized in that, The method includes: Finite element simulation calculations of electric field intensity are performed based on the geometry of the transformer to obtain the electric field modulus at each spatial coordinate point in the entire space of the transformer. Spatial coordinate points are filtered based on electric field modulus to obtain point cloud data sets; A three-dimensional solid model is constructed based on the point cloud data set, and the volume of the three-dimensional solid model is measured to determine the model volume of the three-dimensional solid model; The critical value for electric field failure is calculated based on the model volume. Based on the electric field failure critical value and the maximum electric field modulus, the transformer long oil gap is checked, and the check results are obtained. The construction of a 3D solid model based on the point cloud data set includes: The outermost spatial coordinate points of the point cloud dataset are fitted into a closed surface to construct a three-dimensional solid model; For point cloud data with axisymmetric features, the outermost data of the point cloud is fitted into a curve using cubic spline curves on the plane of symmetry, and then rotated 360° around the axis of symmetry to generate a 3D solid model. For geometric point cloud data with a cross-sectional shape that is fixed or gradually changes along a certain axis, a topological method of stretching or sweeping is used to generate a 3D solid model. For geometric features with indistinct geometric shapes, a U / V surface method is used for fitting to form a surface, thereby constructing a 3D solid model. The process of measuring the volume of the three-dimensional solid model to determine its volume includes: The three-dimensional solid model is cut into multiple interconnected and non-overlapping tetrahedrons. Based on the surface area of ​​any one surface of each tetrahedron and the modulus of the corresponding normal vector, the volume of each tetrahedron is calculated and summed to determine the model volume of the three-dimensional solid model.

2. The method according to claim 1, characterized in that, The method further includes: When the number of spatial coordinate points in the thickness direction does not meet the preset number of layers, the electric field modulus is linearly interpolated to increase the number of electric field moduli at the spatial coordinate points.

3. The method according to claim 1, characterized in that, Spatial coordinate points are filtered based on electric field modulus to obtain a point cloud dataset, including: ， Where Q is the point cloud dataset; x i y i and z i This refers to the position information of spatial coordinate point i; Let be the electric field intensity corresponding to spatial coordinate point i; is the maximum value of the electric field modulus; N is the number of spatial coordinate points.

4. The method according to claim 1, characterized in that, The electric field failure threshold is calculated based on the model volume, including: ， Among them, E criticality α is the critical value for electric field failure; V is the model volume; A, B and α are the coefficients related to the field strength, the fixed value related to the field strength and the Weibull shape factor, respectively.

5. The method according to claim 1, characterized in that, Based on the aforementioned electric field failure critical value and maximum electric field modulus, the transformer long oil gap is checked, and the check results are obtained, including: If the electric field failure threshold is greater than or equal to the maximum electric field modulus, then the electric field margin of the transformer's long oil gap is determined to meet the operating requirements; otherwise, the electric field margin of the transformer's long oil gap is determined to not meet the operating requirements.

6. A transformer long oil gap verification system, characterized in that, The system includes: The electric field modulus determination unit is used to perform finite element simulation calculations of electric field intensity based on the geometry of the transformer, and to obtain the electric field modulus at each spatial coordinate point in the entire space of the transformer. The filtering unit is used to filter spatial coordinate points based on electric field modulus to obtain a point cloud data set. The model volume determination unit is used to construct a three-dimensional solid model based on the point cloud data set and to measure the volume of the three-dimensional solid model to determine the model volume of the three-dimensional solid model. The electric field failure critical value calculation unit calculates the electric field failure critical value based on the model volume; The verification unit performs a long oil gap verification of the transformer based on the electric field failure critical value and the maximum electric field modulus, and obtains the verification results. The model volume determination unit, which constructs a 3D solid model based on the point cloud data set, includes: The outermost spatial coordinate points of the point cloud dataset are fitted into a closed surface to construct a three-dimensional solid model; Specifically, for point cloud data with axisymmetric features, the outermost data of the point cloud is fitted into a curve using cubic spline curves on the plane of symmetry, and then rotated 360° around the axis of symmetry to generate a 3D solid model; for geometric point cloud data with a cross-sectional shape that is fixed or gradually changes along a certain axis, a topology system of stretching or sweeping is used to generate a 3D solid model; for geometric features with indistinct geometric shapes, a U / V surface system is used for fitting to form a surface, thereby constructing a 3D solid model; The model volume determination unit measures the volume of the three-dimensional solid model to determine its volume, including: The three-dimensional solid model is cut into multiple interconnected and non-overlapping tetrahedrons. Based on the surface area of ​​any one surface of each tetrahedron and the modulus of the corresponding normal vector, the volume of each tetrahedron is calculated and summed to determine the model volume of the three-dimensional solid model.

7. The system according to claim 6, characterized in that, The system also includes: The data augmentation unit is used to linearly interpolate the electric field modulus when the number of spatial coordinate points in the thickness direction does not meet the preset number of layers, so as to increase the number of electric field moduli at the spatial coordinate points.

8. The system according to claim 6, characterized in that, The filtering unit filters spatial coordinate points based on the electric field modulus to obtain a point cloud data set, including: ， Where Q is the point cloud dataset; x i y i and z i This refers to the position information of spatial coordinate point i; Let be the electric field intensity corresponding to spatial coordinate point i; is the maximum value of the electric field modulus; N is the number of spatial coordinate points.

9. The system according to claim 6, characterized in that, The electric field failure critical value calculation unit calculates the electric field failure critical value based on the model volume, including: ， Among them, E criticality α is the critical value for electric field failure; V is the model volume; A, B and α are the coefficients related to the field strength, the fixed value related to the field strength and the Weibull shape factor, respectively.

10. The system according to claim 6, characterized in that, The verification unit performs transformer long oil gap verification based on the electric field failure critical value and the maximum electric field modulus, and obtains the verification results, including: If the electric field failure threshold is greater than or equal to the maximum electric field modulus, then the electric field margin of the transformer's long oil gap is determined to meet the operating requirements; otherwise, the electric field margin of the transformer's long oil gap is determined to not meet the operating requirements.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1-5.

12. An electronic device, characterized in that, include: The computer-readable storage medium as described in claim 11; as well as One or more processors for executing a program in the computer-readable storage medium.

Images